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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 14
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolders and classes.
What is the best way to run this project as a Job?
- A. ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically.
- B. Rewrite your code so that it is a single executable Python or Bash/Shell script file.
- C. ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the_main_ top level where the code is run.
- D. ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file.
Answer: D
NEW QUESTION # 15
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. auto_transform()
- B. suggest_recommendations()
- C. sample ()
- D. visualize_transforms ()
Answer: C
NEW QUESTION # 16
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?
- A. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- B. conda activate /home/datascience/conda/<SLUG>
- C. odac conda publish --slug <SLUG>
- D. odsc conda list --override
- E. odsc conda create --file manifest.yaml
Answer: A,C
NEW QUESTION # 17
3. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py file?
- A. Define the compute scaling strategy.
- B. Configure the deployment infrastructure.
- C. Execute the inference logic code.
- D. Define the inference server dependencies
Answer: C
NEW QUESTION # 18
You are building a model and need input that represents data as morning, afternoon, or evening.
However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Model type selection
- B. Data access
- C. Feature engineering
- D. Model validation
Answer: C
NEW QUESTION # 19
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, the total number of observations, and distributions of the data. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?
- A. compute ()
- B. show_in_notebook ()
- C. to_xgb ()
- D. show_corr()
Answer: B
NEW QUESTION # 20
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
- A. Oracle.automl.visualize_algorith_selection_trails()
- B. Oracle.automl.visualize_tuning_trails()
- C. Oracle.automl.print_trials()
- D. Oracle.automl.visualize_adaptive_sampling_trails()
Answer: C
NEW QUESTION # 21
You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?
- A. JSON
- B. Raw Images
- C. XML
- D. DOCX
- E. Pandas DataFram
Answer: A,C,E
NEW QUESTION # 22
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?
- A. You can move a project to a different compartment without affecting its associated notebook sessions and models
- B. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- C. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- D. You cannot move a project to a different compartment after it has been created.
Answer: B
NEW QUESTION # 23
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?
- A. Data Flow
- B. Analytics Cloud
- C. Vault
- D. Data Integration
Answer: A
NEW QUESTION # 24
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?
- A. Table of Contents
- B. Notebook Examples
- C. Command Palette
- D. Terminal
- E. Environment Explorer
Answer: B,E
NEW QUESTION # 25
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?
- A. Operational monitoring
- B. Redeploy the model
- C. Retrain the model
- D. Validate the model using recent data
- E. Drift monitoring
Answer: C,D
NEW QUESTION # 26
Which two statements are true about published conda environments?
- A. In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.
- B. You can only create a published conda environment by modifying a Data Science conda environment.
- C. The odac conda init command is used to configure the location of published conda environments.
- D. Your notebook session acts as the source to share published conda environments with team members.
- E. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
Answer: A,D
NEW QUESTION # 27
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- B. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- D. Package your personal OC file and keys in the job artifact.
Answer: A
NEW QUESTION # 28
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle AutoML You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?
- A. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- B. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
- C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- D. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
Answer: D
NEW QUESTION # 29
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
- A. Model 2, because recall has more impact on predictions in this use se.
- B. Model 2, because recall is high.
- C. Model 1, because the test accuracy is high.
- D. Model 1, because recall has lesser impact on predictions in this use case
Answer: A
NEW QUESTION # 30
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. Compute{}
- B. To_xgb{}
- C. Show_corr{}
- D. Show_in_notebook{}
Answer: D
NEW QUESTION # 31
You have an embarrassingly parallel or distributed batch job on a large amount of data that you consider running using Data Science Jobs. What would be the best approach to run the workload?
- A. Reconfigure the job run because Data Science Jobs does not support embarrassingly parallel workloads.
- B. Create the job in Data Science Jobs and then start the number of simultaneous jobs runs required for your workload.
- C. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
- D. Create a new job for every job run that you have to run in parallel, because the Data Science Jobs service can have only one job run per job.
Answer: B
NEW QUESTION # 32
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